Georgios Fotakis

The paper integrates single-cell data from CRC patients to identify immune subtypes and neutrophil phenotypes, revealing their spatial organization and tumor-induced changes.

This study identifies the YAP1-TGFβ1 axis as a driver of androgen receptor loss in prostate cancer-associated fibroblasts, showing its role in promoting aggressive disease and resistance to therapy.

The paper optimizes dissociation protocols and uses multimodal profiling to characterize fibromuscular stromal heterogeneity in prostate cancer with clinical relevance.

This study shows conventional therapy in CRC induces immunoediting and changes immune contexture, with AI identifying mucin deposits as a potential surrogate marker.

Scirpy provides a Python toolkit for analyzing single-cell T-cell receptor data and integrating it with transcriptomic data.